Objective
The recent observation of many quantum correlated phases, including superconductivity and correlated insulating states, in twisted bilayers of 2D materials, has sparked tremendous interest and boosted intense research activity to understand these phases. The ability of robustly engineering quantum states of matter with few tunable experimental knobs, e.g. the twist angle between the two 2D materials, represents a major breakthrough of these so-called moiré materials, which started the new field of twistronics. In particular, moiré materials made from transition metal dichalcogenides (TMDs), have gained significant momentum as a novel and robust platform for simulating quantum phases of matter on emergent 2D lattices.
While it is widely accepted that these quantum phases are driven by enhanced electron-electron interactions in moiré materials, the quantum nature of many correlated phases is still poorly understood. Theoretical and computational first principles methods can be extremely powerful in helping to unravel the experimental signatures of the different quantum phases and also predict new ones. However, standard methods, like density functional theory, are computationally too costly for moiré systems (for which typical unit cells contain thousands of atoms) and generally unable to tackle the challenges posed by strongly correlated materials. A new approach is therefore required.
In this fellowship, I will develop an efficient multi-scale framework, involving different theoretical and computational methods, for studying quantum phases of TMDs moiré superlattices. Specifically, I will combine classical force field calculations, machine-learning based tight-binding methods and many-body methods to overcome the limitations of conventional first-principles approaches while maintaining their predictive power.
This framework will allow us to shed light on the nature of the quantum phases hosted in moiré materials, which can be harnessed in future technologies.
Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2021-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
34127 Trieste
Italy
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